GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking on) on Diverging stacked bar chart with exact SVG geometry
OGPT-6.1 Soldefault · thinking on · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-22 · by @bobsiopener
- Estimated cost
- $0.06
- Wall time
- 1m
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
# Diverging stacked bar chart with exact geometry `input.json`: `categories` (list of names) and `series` (each `{name, color, values}`, one value per category; `null` means 0). Write `solve.py` (Python 3 standard library only); `python solve.py input.json answer.json` must write `answer.json` and a static `chart.svg` in the working directory. Fresh inputs are generated. ## Rules 1. Canvas 720x360. Plot area x0=60, y0=20, width 600, height 300. 2. For each category, `pos` = sum of positive values and `neg` = sum of negative values (null and 0 add nothing). `totals` = [[pos, neg], ...] in category order. 3. Raw domain: lo = min(0, min neg), hi = max(0, max pos). 4. Nice ticks: raw = (hi - lo)/5 (use 1 if hi == lo); mag = 10^floor(log10(raw)); f = raw/mag; m = 1 if f<=1, 2 if f<=2, 2.5 if f<=2.5, 5 if f<=5, otherwise 10; step = m*mag. Axis min = floor(lo/step)*step, axis max = ceil(hi/step)*step (if they are equal, add one step). Round the quotient to 9 decimals before floor/ceil so float noise doesn't add a step. Ticks run from axis min to axis max in steps (each rounded to 10 decimals). `domain` = [axis min, axis max]. 5. Tick label: the smallest d in 0..6 such that step rounded to d decimals equals step; format each tick with d decimals; a label equal to zero prints as `0`. 6. y(v) = y0 + 300*(axis max - v)/(axis max - axis min). 7. Band = 600/number of categories. Bar x = x0 + i*band + 0.15*band; width = 0.7*band. 8. Stacking: series in the given order. Positive values stack **upward from 0** on the positive stack; negative values stack **downward from 0** on a separate negative stack. A value of 0 or null draws no bar. 9. A bar from value bot to top has y = y(top) and height = y(bot) - y(top). Round x, y, width and height to 2 decimals. 10. Bar id `bar-<category index>-<series index>` (0-based), with fill = the series color. ## Outputs - `answer.json`: `{"domain", "ticks", "tick_labels", "totals", "bars": [{"id","x","y","width","height","fill"}, ...]}`, with bars in category order and then series order. - `chart.svg`: root `<svg>`, no scripts, external resources or animation. It contains `<g id="bars">` holding one `<rect id="bar-i-j" x y width height fill>` per bar, with numeric attributes equal to the JSON values (within 0.01). For tick k: `<line id="tick-k">` at y(tick) and `<text id="tick-label-k">` holding the label. Also `<line id="zero-line">` at y(0). ## Scoring Hidden checks (partial credit; all must pass): `stack_totals` (1e-6), `nice_ticks_domain` (exact labels), `bar_geometry_json` (0.011), `chart_svg_static` (parses as static SVG with the required ids and tags), `chart_svg_geometry` (rect attributes and tick-label texts read from the SVG itself), `fresh_run_1`, `fresh_run_2` (domain, labels, bars and SVG geometry on new data). 30-second limit per run.
Fixes the subjective look of a chart to exact numbers. Separate +/- stacks, the 2.5 step, float-noise floors and label decimals are easy to get slightly wrong. Original benchmark task written for usecaserank.com. Headless, offline run on a reproducible fixture. Cost shown is a list-price API-equivalent estimate (run on a ChatGPT subscription, not billed).
Success criteria: 1. stack_totals 2. nice_ticks_domain 3. bar_geometry_json 4. chart_svg_static 5. chart_svg_geometry 6. fresh_run_1 7. fresh_run_2
Setup notes: Use Case Scout batch12 case m11-stacked-chart-geometry (offline fixture). Prepared with batch12/prepare.sh on the shared box; only TASK.md + starting files were copied to the agent machine, hidden key/tests stayed on the box. Prompt = TASK.md verbatim on stdin. Flags: --json -s workspace-write --skip-git-repo-check --ephemeral --ignore-user-config --ignore-rules -C <workdir>. Scored on the box with the scout's scorer: `python score.py WORKDIR KEYDIR`. Single run, no retries. User-level AGENTS.md (846 bytes, sha256 83ec4fe50da8) may have been in context; --ignore-user-config does not document excluding it. Visual output (chart.svg) rendered offline to PNG with google-chrome headless, network blocked, 1280x800 at ~3 s after load. Serving model not confirmed: requested via -m; the event log does not echo the serving model id. Price source is secondary (pricing.json verification='secondary', https://www.actuia.com/en/news/ai-api-pricing-in-october-2026-050-to-50-for-output/), not an official OpenAI price page. Score: 7/7. Cost is an ESTIMATE: measured tokens x pricing.json list price (ChatGPT plan, nothing billed); input_tokens include cached reads; output_tokens include reasoning tokens. Tool calls 4 (1 failed, recovered). Single run.
Estimated cost List-price estimate; not actually billed.
Output
Metrics
- Estimated cost
- $0.06
- Wall time
- 1m
- Human step-ins
- 0
- Turns
- 1
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| OGPT-6.1 Solopenai/gpt-6.1-soleffort default (no reasoning-effort override) · thinking on | 86,884 | 2,118 | $0.06 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: GPT-6.1 Sol (openai/gpt-6.1-sol, effort default (no reasoning-effort override) · thinking on) via
Codex CLI 0.163.0 (codex exec --json), cloud. - It counts as a success only if it meets every success criterion: 1. stack_totals 2. nice_ticks_domain 3. bar_geometry_json 4. chart_svg_static 5. chart_svg_geometry 6. fresh_run_1 7. fresh_run_2
- Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.
How runs are scored: Methodology.
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Automated checks
Trust 80% comes from these checks (how Trust % works).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
{"type": "thread.started", "thread_id": "01a1640e-54d9-7153-8b7b-10b3ae108116"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll write `solve.py` to compute the stacks and SVG geometry, then verify it with mixed-sign and all-zero inputs."}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'AGENTS.md' -g 'solve.py' -g 'input.json'\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'AGENTS.md' -g 'solve.py' -g 'input.json'\"", "aggregated_output": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/130_m11/work\ninput.json\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat input.json'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat input.json'", "aggregated_output": "{\n \"categories\": [\n \"C1\",\n \"C2\",\n \"C3\",\n \"C4\",\n \"C5\",\n \"C6\"\n ],\n \"series\": [\n {\n \"name\": \"S1\",\n \"color\": \"#1b9e77\",\n \"values\": [\n 39,\n 35,\n 75,\n 63,\n -38,\n 45\n ]\n },\n {\n \"name\": \"S2\",\n \"color\": \"#d95f02\",\n \"values\": [\n -4,\n null,\n 60,\n 114,\n null,\n 0\n ]\n },\n {\n \"name\": \"S3\",\n \"color\": \"#7570b3\",\n \"values\": [\n 0,\n -27,\n -33,\n 3,\n null,\n -5\n ]\n }\n ]\n}", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_3", "type": "file_change", "changes": [{"path": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/130_m11/work/solve.py", "kind": "add"}], "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "file_change", "changes": [{"path": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/130_m11/work/solve.py", "kind": "add"}], "status": "completed"}}
{"type": "item.started", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"python solve.py input.json answer.json && python - <<'PY'\nimport json\nimport tempfile\nimport os\nimport xml.etree.ElementTree as ET\nfrom solve import solve\nwith tempfile.TemporaryDirectory() as directory:\n original = os.getcwd()\n os.chdir(directory)\n for data, domain, labels in [\n ({'categories':['a'], 'series':[{'name':'s','color':'red','values':[None]}]}, [0,1], ['0','0.2','0.4','0.6','0.8','1.0']),\n ({'categories':['a'], 'series':[{'name':'s','color':'red','values':[0]}]}, [0,1], ['0','1']),\n ({'categories':['a'], 'series':[{'name':'s','color':'red','values':[3]},{'name':'t','color':'blue','values':[-2]}]}, [-2,3], ['-2','-1','0','1','2','3'])]:\n result = solve(data)\n assert result['domain'] == domain\n if data['series'][0]['values'][0] is not None:\n assert result['tick_labels'] == labels\n root = ET.parse('chart.svg').getroot()\n elements = {el.get('id'): el for el in root.iter() if el.get('id')}\n for bar in result['bars']:\n for key in ['x','y','width','height']:\n assert float(elements[bar['id']].get(key)) == bar[key]\n for k,label in enumerate(result['tick_labels']):\n assert elements[f'tick-label-{k}'].text == label\n os.chdir(original)\nresult=json.load(open('answer.json'))\nprint('Verified zero/null, mixed-sign stacks, SVG geometry and labels.')\nprint('Input domain:', result['domain'], 'bars:', len(result['bars']))\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"python solve.py input.json answer.json && python - <<'PY'\nimport json\nimport tempfile\nimport os\nimport xml.etree.ElementTree as ET\nfrom solve import solve\nwith tempfile.TemporaryDirectory() as directory:\n original = os.getcwd()\n os.chdir(directory)\n for data, domain, labels in [\n ({'categories':['a'], 'series':[{'name':'s','color':'red','values':[None]}]}, [0,1], ['0','0.2','0.4','0.6','0.8','1.0']),\n ({'categories':['a'], 'series':[{'name':'s','color':'red','values':[0]}]}, [0,1], ['0','1']),\n ({'categories':['a'], 'series':[{'name':'s','color':'red','values':[3]},{'name':'t','color':'blue','values':[-2]}]}, [-2,3], ['-2','-1','0','1','2','3'])]:\n result = solve(data)\n assert result['domain'] == domain\n if data['series'][0]['values'][0] is not None:\n assert result['tick_labels'] == labels\n root = ET.parse('chart.svg').getroot()\n elements = {el.get('id'): el for el in root.iter() if el.get('id')}\n for bar in result['bars']:\n for key in ['x','y','width','height']:\n assert float(elements[bar['id']].get(key)) == bar[key]\n for k,label in enumerate(result['tick_labels']):\n assert elements[f'tick-label-{k}'].text == label\n os.chdir(original)\nresult=json.load(open('answer.json'))\nprint('Verified zero/null, mixed-sign stacks, SVG geometry and labels.')\nprint('Input domain:', result['domain'], 'bars:', len(result['bars']))\nPY\"", "aggregated_output": "/bin/bash: line 1: python: command not found\n", "exit_code": 127, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"python3 solve.py input.json answer.json && python3 - <<'PY'\nimport json, tempfile, os\nimport xml.etree.ElementTree as ET\nfrom solve import solve\nwith tempfile.TemporaryDirectory() as directory:\n original=os.getcwd()\n os.chdir(directory)\n for values,domain,labels in [([None],[0,1],['0','1']),([3,-2],[-2,3],['-2','-1','0','1','2','3'])]:\n result=solve({'categories':['a'],'series':[{'name':str(i),'color':'red','values':[v]} for i,v in enumerate(values)]})\n assert result['domain']==domain\n assert result['tick_labels']==labels\n elements={e.get('id'):e for e in ET.parse('chart.svg').getroot().iter() if e.get('id')}\n for bar in result['bars']:\n for key in ['x','y','width','height']:\n assert float(elements[bar['id']].get(key))==bar[key]\n for k,label in enumerate(labels):\n assert elements[f'tick-label-{k}'].text==label\n os.chdir(original)\nr=json.load(open('answer.json'))\nprint('Verified zero/null, mixed-sign stacks, SVG geometry and labels.')\nprint('Input domain:',r['domain'],'bars:',len(r['bars']))\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"python3 solve.py input.json answer.json && python3 - <<'PY'\nimport json, tempfile, os\nimport xml.etree.ElementTree as ET\nfrom solve import solve\nwith tempfile.TemporaryDirectory() as directory:\n original=os.getcwd()\n os.chdir(directory)\n for values,domain,labels in [([None],[0,1],['0','1']),([3,-2],[-2,3],['-2','-1','0','1','2','3'])]:\n result=solve({'categories':['a'],'series':[{'name':str(i),'color':'red','values':[v]} for i,v in enumerate(values)]})\n assert result['domain']==domain\n assert result['tick_labels']==labels\n elements={e.get('id'):e for e in ET.parse('chart.svg').getroot().iter() if e.get('id')}\n for bar in result['bars']:\n for key in ['x','y','width','height']:\n assert float(elements[bar['id']].get(key))==bar[key]\n for k,label in enumerate(labels):\n assert elements[f'tick-label-{k}'].text==label\n os.chdir(original)\nr=json.load(open('answer.json'))\nprint('Verified zero/null, mixed-sign stacks, SVG geometry and labels.')\nprint('Input domain:',r['domain'],'bars:',len(r['bars']))\nPY\"", "aggregated_output": "Verified zero/null, mixed-sign stacks, SVG geometry and labels.\nInput domain: [-50, 200] bars: 13\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_6", "type": "agent_message", "text": "Created [solve.py](solve.py), and generated `answer.json` and `chart.svg`.\n\nVerified mixed-sign stacks, zero/null inputs, SVG geometry, and tick labels.\n\nRun with `python3 solve.py input.json answer.json`. This environment has no `python` alias."}}
{"type": "turn.completed", "usage": {"input_tokens": 86884, "cached_input_tokens": 72064, "cache_write_input_tokens": 0, "output_tokens": 2118, "reasoning_output_tokens": 8}}